Artificial Intelligence


This class covers the fundamental concepts and algorithms of the traditional (symbolic) Artificial Intelligence. Particularly, it deepens in problem solving with search algorithms, adversary games, constraint satisfaction problems, propositional and first order logic. The class prepares the student for most recent developments of Artificial Intelligence, such as probabilistic reasoning and machine learning.

Objectives

not available

Prerequisites

not available

Syllabus

Intelligent agents. Search algorithms. Blind search and informed search. Constraint satisfaction problems. Arc consistency. Constraint propagation. Adversary games. Minimax search and alpha-beta pruning. Games with chance. Knowledge and reasoning. Propositional logic. First order logic. Resolution. Ontologies. Semantic web.

COURSE DETAILS

Level:

Type:

Undergraduate

(A+)

Instructors: Ioannis Refanidis
Department: Applied Informatics
Institution: University of Macedonia
Subject: Computer Science, Information Technology, Telecommunications
Rights: Attribution - ShareAlike CC BY-SA

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